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重测序:通过下一代测序技术揭示免疫受体库。

Rep-Seq: uncovering the immunological repertoire through next-generation sequencing.

机构信息

The Mina & Everard Goodman Faculty of Life Sciences, Bar Ilan University, Ramat Gan.

出版信息

Immunology. 2012 Mar;135(3):183-91. doi: 10.1111/j.1365-2567.2011.03527.x.

DOI:10.1111/j.1365-2567.2011.03527.x
PMID:22043864
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3311040/
Abstract

Recent scientific discoveries fuelled by the application of next-generation DNA and RNA sequencing technologies highlight the striking impact of these platforms in characterizing multiple aspects in genomics research. This technology has been used in the study of the B-cell and T-cell receptor repertoire. The novelty of immunosequencing comes from the recent rapid development of techniques and the exponential reduction in cost of sequencing. Here, we describe some of the technologies, which we collectively refer to as Rep-Seq (repertoire sequencing), to portray achievements in the field and to present the essential and inseparable role of next-generation sequencing to the understanding of entities in immune response. The large Rep-Seq data sets that should be available in the near future call for new computational algorithms to segue the transition from 'classic' molecular-based analysis to system-wide analysis. The combination of new algorithms with high-throughput data will form the basis for possible new clinical implications in personalized medicine and deeper understanding of immune behaviour and immune response.

摘要

近年来,下一代 DNA 和 RNA 测序技术的应用推动了科学发现,突出了这些平台在基因组学研究的多个方面的重要作用。这项技术已被用于 B 细胞和 T 细胞受体库的研究。免疫测序的新颖之处在于技术的快速发展和测序成本的指数级降低。在这里,我们描述了一些技术,我们统称为 Rep-Seq(受体库测序),以描述该领域的成就,并展示下一代测序在理解免疫反应实体方面的不可或缺的作用。不久的将来应该会有大量的 Rep-Seq 数据集,这需要新的计算算法来实现从“经典”基于分子的分析到全系统分析的转变。新算法与高通量数据的结合将为个性化医疗中的可能的新临床意义以及对免疫行为和免疫反应的更深入理解奠定基础。

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